Developing tools to analyze large biomedical data sets
Modeling, Inference, and Optimization for Genomic and Biomedical Big Data
This study is working on new ways to make sense of the huge amounts of health data from things like genes and medical images, so that patients can get better insights about their health.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Los Angeles NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project ID | NIH-11083690 on NIH RePORTER |
What this research studies
This research focuses on creating advanced algorithms and statistical methods to effectively analyze the vast amounts of data generated in biomedical fields, particularly genomics and medical imaging. By addressing challenges such as data heterogeneity and missing information, the project aims to enhance our understanding of complex health data. The tools developed will be applicable to large-scale datasets like those from the NIH All of Us Program and the UK Biobank, ultimately improving data analysis capabilities in healthcare. Patients may benefit from more accurate insights into their health through improved data interpretation.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals whose health data is included in large biobanks or genomic studies, such as participants in the All of Us Program.
Not a fit: Patients who do not have their data included in large-scale biomedical datasets may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise and personalized healthcare solutions based on comprehensive data analysis.
How similar studies have performed: Other research initiatives have successfully developed computational tools for big data analysis in healthcare, indicating a promising potential for this approach.
Where this research is happening
Los Angeles, United States
- University of California Los Angeles — Los Angeles, United States (Active)
Researchers
- Principal investigator: Lange, Kenneth L — University of California Los Angeles
- Study coordinator: Lange, Kenneth L
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.